ADTV-1436-AI Engineer
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Department:
Job Summary
Senior Software Engineer / AI Backend Developer
| Experience | 5 Years |
| Location | Kochi / Mohali |
| Engagement | Long-term GCC |
| Work Model | Full-time |
Role Overview
We are looking for a skilled Senior Software Engineer with a strong backend and AI focus to contribute to an AI product engineering engagement for a US-based media and technology client. You will work on solution design backend development and AI integrations collaborating closely with the lead architect and client teams. The role sits at the intersection of backend systems data engineering and applied AI requiring someone who can build intelligent scalable systems and take ownership of key technical components. You will be embedded within a Global Capability Centre model working closely and continuously with the clients internal product and business teams. This is a hands-on engineering role with scope for growth.
Key Responsibilities
Architecture & Systems Design
- Contribute to end-to-end solution design across backend data and AI layers with attention to scalability fault tolerance and long-term extensibility
- Implement and maintain system boundaries data flow design API contracts and integration patterns across internal and external services
- Participate in technology selection and architectural trade-off discussions aligned with product goals and delivery timelines
- Follow and contribute to engineering standards code review practices and architectural governance across the team
AI & Knowledge Systems
- Build and maintain RAG-based knowledge systems working on retrieval strategies chunking embedding model integration hybrid search and end-to-end retrieval quality
- Implement memory architecture components operational episodic and semantic layers with clear decisions on what gets stored retrieved and expired
- Work with orchestration frameworks retrieval chains agentic workflows and multi-step reasoning selecting approaches based on complexity latency and reliability requirements
- Handle LLM failure modes in implementation hallucination context drift prompt sensitivity applying structural mitigations rather than surface-level patches
- Apply AI-level security practices prompt injection defence output validation model access controls and data boundary enforcement within AI pipelines
Cloud Infrastructure & Security
- Deploy and maintain cloud infrastructure on AWS working across compute storage networking and security with cost efficiency as a first-class concern
- Implement authentication and authorisation patterns JWT OAuth RBAC across services and AI pipeline boundaries
- Apply data security practices encryption PII handling access scoping and audit logging built into the system from day one
- Contribute to observability practices logging tracing alerting and AI output monitoring across the full system
Delivery Collaboration & Client Engagement
- Work within the engineering team with clear ownership of assigned delivery outcomes quality and timelines
- Engage directly with the US client team when needed translate technical progress into clear updates and raise trade-offs with the lead architect
- Participate in engagement cadence design workshops sprint reviews and steering discussions
- 5 years of overall experience with demonstrated ownership of backend and AI components; prior exposure to international or client-facing projects preferred
Tech Stack
- Languages: Python TypeScript SQL
- Backend: FastAPI SQLAlchemy Alembic PostgreSQL; (good to have)
- Frontend: React 18 TypeScript Tailwind CSS
- Cloud: AWS compute and orchestration (Lambda ECS/EKS) storage (S3 RDS Aurora) security and access (IAM VPC Secrets Manager) observability (CloudWatch CloudTrail)
- AI / Tools: LangChain LlamaIndex Pinecone OpenAI/Gemini APIs pandas Claude Code / Codex / Cursor
- AI / Capabilities: RAG system design vector search and embedding pipelines agentic workflow architecture LLM evaluation and observability
- DevOps: CI/CD pipeline design and management containerisation (Docker) infrastructure as code (Terraform) environment management across dev/staging/production GitHub Actions Render
About Softobiz Technologies
Softobiz Technologies is a technology and product services company headquartered in India operating Global Capability Centers (GCCs) for leading international clients across healthcare fintech and enterprise software. Our GCC model enables world-class talent in India to work directly within the product and engineering teams of our global partners contributing meaningfully to product strategy growth and operations.
Required Experience:
IC
About Company
Softobiz prepares businesses for transformative success by embracing change and engineering innovative digital products.