AI ML Developer
CoforgeIndia5 days ago
Full-timeAnalyst
Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Key Responsibilities
- Design and develop backend microservices using FastAPI / Uvicorn, following SOLID principles and modular design.
- Implement and optimize AI workflows including RAG / Graph RAG pipelines, Neo4j knowledge graphs, and LLM-based agents for test generation and analysis.
- Integrate multi-model orchestration (OpenAI, Anthropic, Azure AI, Gemini, Claude) with dynamic model selection and token efficiency.
- Enhance context management modules supporting multiple data sources (Confluence, SharePoint, Excel, PDFs, Images, and APIs).
- Develop and maintain test generation, regeneration, and automation script creation pipelines.
- Implement observability and telemetry for model performance, API throughput, and agentic decision tracking.
- Collaborate with product architects and data scientists to improve model determinism, reduce hallucination, and ensure explainable outputs.
- Contribute to DevOps pipelines (Azure DevOps / AWS Code Pipeline) for build, test, and deploy automation.
Key Skills & Experience
- 3–8 years of experience in Python-based full-stack / backend development (FastAPI, Flask, Django). (3-5 Engineers & 5-8 Sr Engineers)
- Solid understanding of AI/ML fundamentals, especially in prompt engineering, LLM APIs, vector databases (Chroma / FAISS / OpenSearch), and Graph Databases (Neo4j).
- Experience implementing microservices, REST APIs, and async I/O architectures.
- Proficiency in CI/CD, containerization (Docker / Podman), and cloud deployments (Azure / AWS).
- Experience with test frameworks (PyTest, Robot, Playwright, Selenium).
- Exposure to RAG architectures, embedding models, and LangChain / LangGraph frameworks preferred.
- Knowledge of data security, API governance, and model observability is an advantage.
Behavioral Attributes
- Passionate about AI-driven innovation in QE.
- Strong analytical and problem-solving mindset.
- Self-driven, adaptable to emerging tools and technologies.
- Comfortable working in an agile, cross-functional environment.
Education:
- B.Tech / M.Tech / MCA or equivalent degree in Computer Science or related field.
- Certifications in AI/ML, Cloud (Azure/AWS), or Testing Tools preferred.
Please share profiles to [email protected]
Key Skills
Ranked by relevanceReady to apply?
Join Coforge and take your career to the next level!
Application takes less than 5 minutes