AI Engineer

AI Engineer

Location: Bengaluru, Karnataka, India

Experience: 1-3 years

About the Role

Analyttica Datalab is seeking a passionate AI Engineer with 1–3 years of experience to build cutting-edge Generative AI applications and intelligent systems. In this role, you will be instrumental in designing and developing AI-powered solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern AI frameworks. You will collaborate closely with data scientists, engineers, and product teams to construct scalable AI workflows and integrate LLM-based capabilities into production systems. Essential to this position are strong Python programming skills, practical experience with GenAI frameworks, and a keen interest in exploring emerging AI technologies.

Key Responsibilities

• Build and implement LLM-powered applications utilizing modern GenAI frameworks.
• Develop Retrieval-Augmented Generation (RAG) pipelines with vector databases and embedding models.
• Create Python-based backend services and APIs for AI applications.
• Utilize frameworks such as LangChain, LangGraph, or similar orchestration tools to design AI workflows.
• Integrate AI systems with external data sources, APIs, and internal platforms.
• Assist in fine-tuning and optimizing LLMs for specific domain tasks.
• Perform prompt engineering, evaluation, and performance optimization for AI systems.
• Collaborate with cross-functional teams to translate business requirements into effective AI solutions.
• Participate in testing, monitoring, and enhancing AI system performance in production.
• Stay abreast of the latest advancements in Generative AI, LLM tooling, and AI infrastructure.

Essential Experience and Skillset

• 1–3 years of experience in AI/ML, Data Science, or Backend Engineering.
• Strong Python programming skills and experience in building APIs or backend services.
• Hands-on experience with Generative AI and LLMs (e.g., OpenAI, Claude, Llama).
• Experience building RAG pipelines with vector databases like Pinecone, FAISS, Weaviate, or similar.
• Familiarity with LLM orchestration frameworks such as LangChain or LangGraph.
• Proficiency in prompt engineering, embeddings, and LLM evaluation techniques.
• Exposure to fine-tuning or adapting LLMs using open-source models or APIs.
• Familiarity with REST APIs, microservices architecture, and cloud platforms (AWS/GCP/Azure) is beneficial.
• Understanding of fundamental ML concepts and NLP.

Nice to Have

• A strong passion for Generative AI and emerging AI technologies.
• Excellent problem-solving abilities and an experimentation-driven mindset.
• Experience with model deployment/MLOps tools (Docker, Kubernetes, MLflow).
• Familiarity with agentic/multi-agent systems and knowledge graphs/semantic search.
• Skills in managing structured and unstructured data pipelines.
• Comfort working in fast-paced environments and cross-team collaboration.

Why Join Us

Accelerate your career growth by working on impactful projects with the latest, patented technologies. Build practical skills and a real-world application portfolio that distinguishes you. Gain intensive mentorship and hands-on experience that extends beyond theoretical knowledge. Join a collaborative team that champions curiosity, innovation, and initiative. Experience the dynamic environment of a startup where your contributions truly matter.

Apply Now: If you are passionate about Python Engineering, excited about working with ML-powered systems, and ready to grow into a leadership role, we encourage you to apply. Please send your profile to recruitment@analyttica.com.