nexgAI
AI Engineer
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AI Engineer
Location: Remote
Experience: 2–7 years
Employment Type: Full-time
About NexgAI
NexgAI is a technology and AI-focused company at the forefront of innovation, leveraging the power of generative AI to transform industries and deliver cutting-edge solutions. We build AI Growth Engines for small, medium, and large enterprises by unifying data, uncovering actionable insights, and powering intelligent conversations that drive business growth.
We are looking for a highly motivated and experienced Senior AI Engineer with 4+ years of experience to design, build, and deploy scalable AI solutions for some of the world’s largest enterprises. In this role, you will work closely with customers to understand their business challenges, architect intelligent AI agents, and drive measurable outcomes from implementation through adoption.
Key Responsibilities
- Design, develop, and deploy scalable AI agents and intelligent workflows for enterprise customers.
- Build agent-based applications using frameworks such as LangChain, LangGraph, or similar technologies.
- Work closely with customers and cross-functional teams to understand requirements, define success metrics, and deliver impactful AI solutions.
- Develop and maintain robust backend services and APIs using Python and FastAPI.
- Design and optimize data pipelines, SQL queries, and integrations with enterprise systems.
- Implement retrieval-augmented generation (RAG) systems using vector databases such as Weaviate, FAISS, or similar.
- Deploy, monitor, and optimize AI applications on cloud platforms such as AWS, GCP, or Azure.
- Ensure solutions are scalable, secure, reliable, and production-ready.
- Collaborate with product, engineering, and customer success teams to continuously improve AI capabilities and customer outcomes.
- Stay up to date with the latest advancements in AI, large language models, and agent frameworks, and bring innovative ideas into the product roadmap.
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Required Qualifications
- 2+ years of experience in software engineering, AI engineering, or a related field.
- Strong programming experience in Python.
- Solid experience with SQL and working with structured/unstructured data.
- Hands-on experience building AI agents using LangChain, LangGraph, or similar frameworks.
- Experience developing APIs and backend services using FastAPI.
- Practical experience with vector databases such as Weaviate, FAISS, Pinecone, Chroma, or similar.
- Experience working with at least one major cloud platform: AWS, GCP, or Azure.
- Strong understanding of retrieval-augmented generation (RAG), prompt engineering, and LLM-based application design.
- Experience designing and deploying scalable, production-grade applications.
- Excellent problem-solving, communication, and stakeholder management skills.
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Preferred Qualifications
- Experience with LLM providers such as OpenAI, Anthropic, or Google Gemini.
- Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
- Experience with CI/CD pipelines and MLOps practices.
- Exposure to enterprise integrations, knowledge bases, and workflow automation tools.
- Experience with monitoring, observability, and performance tuning of AI systems.
- Prior experience working directly with enterprise customers or consulting teams
Application Instructions
Interested candidates, please share your CV at hr@nexgai.com
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