Kolkata, West Bengal, India
Information Technology
Contract
micro1
Overview
Job Role: AI Engineer
Location: Pune & Gurgaon (Hybrid)
Job Type: Contract (Full-time)
We are seeking an experienced AI Engineer to design, build, and deploy advanced AI and machine learning solutions, with a strong focus on Generative AI and Agentic AI systems.
Key Responsibilities
- Design, develop, and deploy robust AI/ML models for prediction, classification, recommendation, and optimization.
- Build and maintain high-performance REST APIs for AI models using FastAPI or Flask.
- Develop asynchronous, scalable APIs suitable for real-world production use.
- Apply Generative AI techniques—LLMs, transformers, diffusion models—to deliver high-impact solutions.
- Architect and orchestrate Agentic AI systems enabling autonomous reasoning and decision-making.
- Fine-tune, optimize, and customize Large Language Models (LLMs) for domain-specific applications.
- Integrate AI capabilities into enterprise workflows through close collaboration with product and engineering teams.
- Ensure secure, scalable deployments using Docker, Kubernetes, and cloud platforms.
Required Skills & Qualifications
- 4–6 years of proven experience in AI/ML engineering.
- Strong proficiency in Python and scientific libraries (NumPy, Pandas, Scikit-learn).
- Expertise with PyTorch or TensorFlow for model development.
- Deep understanding of Generative AI and modern LLM architectures (GPT, LLaMA, Claude, etc.).
- Hands-on experience with Agentic AI frameworks such as LangChain, LlamaIndex, AutoGPT, or CrewAI.
- Strong background in NLP, embeddings, and vector databases (Pinecone, FAISS, Weaviate, Milvus).
- Experience building and securing REST APIs using FastAPI/Flask.
- Practical experience with Docker, Kubernetes, and cloud (AWS, GCP, Azure).
Preferred Qualifications
- Experience with prompt engineering, RAG pipelines, and advanced LLM fine-tuning.
- Track record of research, prototyping, or productionizing innovative AI systems.
- Excellent communication skills for cross-team collaboration and technical documentation.
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