AI Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
As a AI Engineer your role typically involves programming. You would be responsible for the commitments in terms of time effort and quality of work. You would likely be a part of a larger offshore team and are expected to work collaboratively with your peers onsite and offshore to deliver milestone/sprint-based deliverables.
Typical activities that would be expected are
- Program and deliver as per the scope provided by the delivery leads/onsite managers.
- Actively participate in the discussions/scrum meetings to comprehend and understand your scope of work and deliver as per your estimates/commitments
- Proactively reach out to others when you need assistance and to showcase your work
- Work independently on your assigned work
Requirements
Should have experience in the below:
- Python (Advanced proficiency)
- PyTorch / TensorFlow (Model Development & Deployment)
- LangChain / LlamaIndex (LLM Orchestration)
- HuggingFace Transformers
- OpenAI AWS Bedrock Vertex AI or Azure OpenAI APIs
- Vector Databases for RAG (Weaviate / Milvus / FAISS/mongodb)
- MongoDB / PostgreSQL (Structured Data Retrieval & Joins)
- Redis / DynamoDB (Fast Caching & Lookup)
- Kafka / RabbitMQ (Message Queues for Real-Time Inference)
- FastAPI / Flask (Backend APIs for ML Serving)
- Docker (Containerization for Model Inference)
- CI/CD Pipelines (GitHub Actions / GitLab CI / Jenkins)
- MLflow / Weights & Biases (Experiment Tracking & Model Management)
- S3 / GCS (Storage for Model Artifacts & Datasets)
- ElasticSearch / OpenSearch (Search over structured/unstructured text)
- Linting & Testing: Pytest Black Ruff Flake8
- Type Hinting Documentation Standards YAML/JSON Config Management
- LLM training - finetuning (PEFT) pre-training
- Should be familiar with at least two Gen AI platform like Amazon Bedrock Copilot Vertex etc..
- Should be familiar with at least two model like Claude ChatGPT Gemini etc..
- Should be familiar with RAG Model and Agentic AI model
- Strong understanding of AI system design: data ingestion preprocessing model retrieval response
- Experience leading teams on LLM/NLP/ML projects end-to-end
- Excellent architectural decision-making & scalability mindset
- Familiarity with prompt engineering evaluation metrics and benchmarking
- Strong communication documentation and client-handling skills
Benefits
- Insurance benefits for the self and the spouse including maternity benefits.
- Ability to work on many products as the organization is focused on working with several ISVs.
- Monthly sessions to understand the directions of each function and an opportunity to interact with the entire hierarchy of the organization.
- Celebrations are a common place - physical or virtual. Participate in several games with your coworkers.
- Voice your opinions on topics other than your work - Chimera Talks.
- Hybrid working models - Remote office
Required Skills:
Strong hands-on experience in Javascript Spring Boot micro-services JPA and JPQL Strong design development and performance tuning skills on databases such as DB2 or any other RDBS. Experienced in technology stack selection and the definition of solution technology and integration architectures for mid to large sized applications and cloud hosted platforms Strong understanding of various design and architecture patterns. Must have worked on desktop application development. Exposure to debugging and troubleshooting complex issues related to memory management multi-threaded applications custom messaging systems etc. Experience of implementing and governing software engineering processes practices tools and standards for development teams(such as clean code concepts) Full SDLC experience leveraging Agile TDD and BDD for building and rolling out highly transactional and highly available platforms hosted on-premise and on the cloud Proficient in effort estimation techniques; will actively support Leads and scrum masters on planning the implementation and will work with test leads on the definition of an appropriate test strategy for the realization of a quality solution Must be hands on technology and able to troubleshoot critical issues in design or code Familiarity with CI/CD pipelines DevOps practices and version control systems like Git. Understanding of containerization tools like Docker and Kubernetes. Proven experience leading and managing software development teams. Strong project management abilities including planning tracking and delivering on time. Experience in stakeholder communication and reporting project status to senior management.
Company Industry
IT Services and IT Consulting
Key Skills
- ASP.NET
- Health Education
- Fashion Designing
- Fiber
- Investigation
