Senior Generative AI & Agentic Systems Engineer

Position Description:

Company Profile:
Founded in 1976 CGI is among the largest independent IT and business consulting services firms in the world. With 94000 consultants and professionals across the globe CGI delivers an end-to-end portfolio of capabilities from strategic IT and business consulting to systems integration managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at .
Job Title: Senior Generative AI & Agentic Systems Engineer
Experience: 8
Category: Software Development/ Engineering
Location: Bangalore
Position ID: J0226-2253
Employment Type: Full Time
Education Qualification Any Engineering background or and MCA / Any Graduation Full Time only
Responsibilities:
. Design & build LLM-powered applications and agentic systems: Architect develop and productionize robust single- and multi-agent workflows (plannerexecutor supervisorworker debate/reflection patterns) with tool use memory and long-running workflows.
. Implement Retrieval-Augmented Generation (RAG) at scale: Stand up high-accuracy retrieval pipelines (chunking hybrid search reranking citation grounding) using vector databases and knowledge sources; ensure groundedness and traceability.
. Agent orchestration & tool integration: Leverage frameworks such as LangGraph Semantic Kernel LangChain AutoGen CrewAI OpenAI Assistants to connect agents to internal systems (REST/GraphQL SQL search ticketing email CRM/ERP) and manage function calling & tool routing reliably.
. LLMOps & CI/CD for prompts and agents: Establish prompt versioning experiment tracking datasets for offline/online evaluation canary rollouts and automated regression testing for prompts tools and policies.
. Safety security & governance by design: Implement guardrails (prompt-injection and jailbreak defenses PII/PHI redaction output filtering) data access controls and policy compliance (e.g. SOC 2 GDPR); conduct adversarial testing and red-teaming.
. Inference performance & cost optimization: Optimize latency throughput and cost via semantic caching batching speculative decoding quantization and efficient serving (e.g. vLLM/TGI/Triton); manage token budgets and context strategies.
. Automated testing & evaluation: Build evaluation harnesses to measure helpfulness harmlessness groundedness factuality task success and tool-use reliability; run A/B tests and continuous quality checks in production.
. Data engineering for GenAI: Curate and process enterprise data build embeddings pipelines maintain vector stores (e.g. FAISS/Milvus/Pinecone/Weaviate/Azure AI Search) and develop feature/knowledge stores for agents.
. Observability & reliability: Instrument traces structured logs and metrics (token usage latency hallucination rate grounding score) using OpenTelemetry / LangSmith / W&B / Arize and implement SLOs alerts and auto-remediation playbooks.
. Research production: Evaluate and integrate new LLM families (open and hosted) multimodal models routing strategies and planning algorithmsharden them for production at enterprise scale.
. Documentation & collaboration: Produce clear design docs threat models and runbooks. Partner with product security data and platform teams to shape roadmaps that deliver measurable business impact.


Foundational Skills

. Programming excellence (Python required; TypeScript/Node a plus) with strong software engineering fundamentals: testing API design modularity and reliability.
. ML & statistics: Solid grasp of regression/classification time series/forecasting evaluation design and bias/variance tradeoffs.
. ML pipelines & deployment: Experience building reproducible ML/LLM pipelines with CI/CD artifact management and automated tests.
. Cloud fluency: Building scalable AI services in at least one major cloud (Azure/AWS/GCP) with secure automated deployments.


Specialized Skills (GenAI & Agentic Systems)

. LLMs & transformers: Strong knowledge of prompt engineering function calling tool use context strategies and model selection (open vs hosted).
. Agentic frameworks: Hands-on with LangGraph / Semantic Kernel / LangChain / AutoGen / CrewAI / OpenAI Assistants and multi-agent coordination patterns.
. RAG & retrieval: Expertise in chunking hybrid/vector search reranking query transformation grounding with citations and domain adaptation.
. Evaluation & guardrails: Designing offline/online evals dataset curation hallucination detection and safety policies (toxicity PII jailbreak resistance).
. Data engineering & big data: Proficiency with Spark/distributed compute streaming (Kafka/PubSub) and data processing frameworks.
. Vector databases & search: Practical experience with FAISS/Milvus/Weaviate/Pinecone/Azure AI Search schema design indexing and consistency models.
. MLOps & LLMOps: Prompt/version control experiment tracking (W&B/MLflow) model registries deployment automation and observability.
. Optimization: Caching batching quantization GPU inference cost control and throughput tuning.
. Multimodal AI: Integrating text with images/tables/code/structured data; building evaluators across modalities.


Qualifications & Requirements

. BSc/MSc/PhD in Computer Science Data Science or related field; 5 years building cloud-based ML/AI systems in production (incl. solution architecture/design).
. 8 years hands-on Python for AI/ML; strong with data/ML libraries (e.g. PyTorch scikit-learn Hugging Face).
. 3 years shipping LLM or GenAI applications (RAG chat/assistants copilots content generation summarization code or workflow automation).
. Demonstrated experience with agent frameworks (e.g. LangGraph Semantic Kernel LangChain AutoGen CrewAI OpenAI Assistants) and tool integration.
. Practical experience with at least one cloud GenAI stack (e.g. Azure OpenAI / Azure AI Studio AWS Bedrock Google Vertex AI) and vector search.
. Familiarity with evaluation and guardrails: safety policies jailbreak/prompt-injection mitigation PII redaction and compliance-minded design.
. Strong collaborator with product mindsetable to translate ambiguous problems into measurable outcomes and deliver iteratively.


Preferred Experiences

. Observability & analysis: LangSmith W&B Arize OpenTelemetry; online evaluation & canary strategies.
. Serving & scaling: vLLM TGI Triton; Ray/Dask; GPU scheduling; streaming with SSE/gRPC; semantic caching.
. Knowledge & graphs: Knowledge graphs entity linking and graph-RAG; schema alignment with enterprise data models.
. Orchestration & workflows: Airflow/Kubeflow/Argo; event-driven agents (Kafka) long-running DAGs with compensations.
. Frontend for AI apps: Streamlit Gradio or lightweight web apps; telemetry instrumentation for UX insights.
. Security: Threat modeling for GenAI data exfiltration prevention dependency/model supply-chain hygiene.
. Reinforcement learning & multi-agent: RLHF/RLAIF self-play/simulation for decision-making and policy improvement.
. Containerization & platform: Docker/Kubernetes IaC (Terraform/Bicep) secrets management and policy-as-code (OPA).


Nice-to-haves (role-dependent)

. Experience building copilots or enterprise assistants integrated with business systems (e.g. ticketing CRM/ERP data lakes search).
. Familiarity with routing/mixture-of-models and cost-aware policy design.
. Dashboarding/BI (Power BI Superset) for operational and product analytics.
. Prior work in multilingual compliance-heavy or safety-critical domains.
Life at CGI:
It is rooted in ownership teamwork respect and belonging. Here youll reach your full potential because
You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction
Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas embrace new opportunities and benefit from expansive industry and technology expertise
Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons
Come join our team one of the largest IT and business consulting services firms in the world

Your future duties and responsibilities:

#LI-DK6

Skills:

• Python
• Kubernetes
• PowerBuilder

What you can expect from us:

Together as owners lets turn meaningful insights into action.

Life at CGI is rooted in ownership teamwork respect and belonging. Here youll reach your full potential because

You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.

Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas embrace new opportunities and benefit from expansive industry and technology expertise.

Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

Come join our teamone of the largest IT and business consulting services firms in the world.