Hobglobin

Hobglobin helps businesses automate content creation, engage customers, and run enterprise processes with AI. How they do it: core technology includes generative AI, Retrieval-Augmented Generation…

agentartificial intelligencechatbotgenerative aiNLPRAGhobglobin.com

Hobglobin

Hobglobin helps businesses automate content creation, engage customers, and run enterprise processes with AI. How they do it: core technology includes generative AI, Retrieval-Augmented Generation…

agentartificial intelligencechatbotgenerative aiNLPRAGhobglobin.com

HQBengaluru, IN

Team Size4

Open Jobs1

Total Funding-

Latest FundraiseUnknown

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Forward Deployed AI Engineer

RemoteIN

Remote • IN

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We are looking for a Forward Deployed AI Engineer to help design, build, and deliver AI solutions for customers. This role combines hands-on AI engineering with customer-facing delivery: understanding requirements, translating workflows into technical solutions, building prototypes, and deploying production-ready AI applications.

You will work across LLMs, prompt engineering, APIs, document workflows, retrieval systems, and integrations while collaborating closely with customers, product, and engineering teams.

Responsibilities

Work with customers to understand workflows, requirements, pain points, and success criteria.
Translate customer needs into technical specifications, prototypes, and production AI solutions.
Build and deploy LLM-powered applications using Python, FastAPI, prompt engineering, structured outputs, and function calling.
Integrate APIs, vector databases, document pipelines, and third-party/customer systems.
Own delivery from prototype to production, including testing, debugging, iteration, and documentation.
Collaborate with product and engineering teams to improve solution quality, reliability, and usability.

Required Skills

Strong Python skills and experience building APIs with FastAPI or similar frameworks.
Hands-on experience with LLMs, prompt engineering, function calling, structured outputs, and RAG.
Familiarity with vector databases such as FAISS, Qdrant, Pinecone, or Weaviate.
Ability to understand customer requirements and convert ambiguous problems into working solutions.
Strong software engineering fundamentals: Git, testing, logging, deployment, and scalable design.
Clear communication skills with technical and non-technical stakeholders.
Bias toward ownership, fast iteration, and practical delivery.

Preferred Qualifications

4+ years of experience in AI engineering, software engineering, solutions engineering, or implementation roles.
Experience with OpenAI, Anthropic, Hugging Face, LangChain, LlamaIndex, or similar tools.
Experience deploying on AWS, GCP, or Azure.
Prior experience in customer-facing, implementation, or delivery-focused technical roles.
Experience with document-heavy workflows, enterprise integrations, or compliance-related systems.