Machine Learning Engineer

Job description

AI Engineer **Experience:** 2-6 Years **Job Type:** Full-Time **Job Description-** We are looking for a talented **AI Engineer** with 2-6 years of software engineering experience to design, develop, and deploy AI/ML and Generative AI solutions. The ideal candidate will have hands-on experience with **Python, LLMs, RAG pipelines, APIs, vector databases, and cloud technologies**, along with a strong interest in building scalable AI-powered applications. You will work closely with product and engineering teams to develop production-ready AI solutions, integrate LLMs with enterprise applications and internal tools, and continuously improve the performance, reliability, latency, and cost of AI services. **Key Responsibilities-** - Design, develop, test, and deploy **AI/ML and Generative AI applications**. - Build and maintain **RAG (Retrieval-Augmented Generation) pipelines** using embeddings, vector databases, and semantic search. - Integrate **LLMs** with internal tools, APIs, databases, and enterprise applications. - Develop scalable and production-ready backend services using **Python and FastAPI**. - Work with LLMs such as **OpenAI, Anthropic, Gemini, Llama, Qwen**, or other open-source models. - Develop and optimize **prompts, AI workflows, and model evaluation frameworks**. - Implement techniques to improve AI application **accuracy, performance, latency, reliability, and cost efficiency**. - Work with vector databases and technologies for **embeddings, similarity search, and semantic retrieval**. - Develop and integrate **REST APIs** and backend services. - Containerize and deploy AI services using **Docker** and contribute to deployment on **Kubernetes** environments. - Work with cloud platforms such as **AWS, Azure, or GCP**. - Use AI frameworks such as **LangChain, LlamaIndex, or similar frameworks**. - Collaborate with senior engineers, product managers, and cross-functional teams to translate business requirements into effective AI solutions. - Participate in **testing, debugging, monitoring, and production support** of AI services. - Stay updated with emerging **Generative AI, LLM, and AI engineering technologies** and evaluate their applicability to business problems. **Required Skills-** - **2-6 years of experience** in software development, backend engineering, AI/ML engineering, or a related field. - Strong programming skills in **Python**. - Hands-on experience with **Generative AI and LLM-based applications**. - Experience with **RAG, embeddings, vector databases, semantic search, and prompt engineering**. - Experience developing **REST APIs using Python/FastAPI**. - Familiarity with **OpenAI, Anthropic, Gemini, Llama, Qwen**, or similar LLM platforms/models. - Experience with **Git, Docker, and software development best practices**. - Understanding of **databases, APIs, and backend application development**. - Basic to good understanding of **AWS, Azure, or GCP**. - Familiarity with **LangChain, LlamaIndex, or equivalent AI frameworks**. - Understanding of AI/LLM evaluation, monitoring, and model optimization is a plus. - Strong analytical, problem-solving, and communication skills. - Ability to learn new AI technologies and apply them to real-world business problems. **Good to Have-** - Experience deploying AI applications in production. - Experience with **Kubernetes** and cloud-native architectures. - Knowledge of **LLM fine-tuning, function calling/tool use, agents, or multimodal AI**. - Experience with AI observability, evaluation, and monitoring tools. - Knowledge of **CI/CD and MLOps practices**. - Experience working with enterprise applications and integrating AI into existing business workflows. **Education-** - **B.Tech / B.E.** in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, or a related engineering discipline. - **M.Tech** in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related engineering discipline. - **Only B.Tech/B.E. or M.Tech candidates will be considered.**