Posted 12 months ago
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Responsibilities
Role Overview
As a Forward Deployed Engineer, you will design, build, and deploy AI agents and Generative AI solutions directly within customer environments. You will collaborate with cross-functional teams to prototype solutions, productionize systems, and integrate AI into enterprise workflows. This role combines strong technical expertise, customer-oriented problem-solving, and hands-on AI development.
Key Responsibilities
* Partner with customers to identify business challenges and AI integration opportunities across their workflows.
* Design and develop AI agents and RAG pipelines using LLMs, embeddings, and vector databases.
* Integrate AI systems with enterprise platforms such as CMS, CRM, analytics, and authentication systems.
* Implement reliability and safety best practices, including prompt versioning, hallucination control, HITL loops, and offline evaluations.
* Lead PoCs and demos, validate use cases, and deliver measurable business outcomes.
* Document and standardize best practices, playbooks, and reusable components for future deployments.
* Collaborate with core engineering teams to productize customer prototypes.
Required Skills & Experience
* 2–3 years of experience in solutions engineering, machine learning, or AI engineering.
* Strong proficiency in Python and/or TypeScript, with hands-on API and data integration skills.
* Proven experience building and deploying Generative AI or LLM-based applications.
* Expertise in RAG architectures and vector stores such as OpenSearch, Pinecone, or Weaviate, including hybrid search and metadata filtering.
* Experience with prompt engineering, evaluation frameworks, and AI safety guardrails.
* Familiarity with enterprise security considerations such as PII handling, access controls, and compliance.
* Excellent communication skills and customer-facing experience.
Nice-to-Have
* Experience with AWS Cloud.
* Experience with frameworks such as LangChain, LangGraph, DSPy, or LlamaIndex.
* Hands-on experience with LLM fine-tuning.
* Experience leading PoCs or production deployments for enterprise customers.
Preferred Qualifications
* Bachelor’s degree in Computer Science or Artificial Intelligence.
* PhD, M.Tech, M.E., or B.E. in Computer Science or AI preferred.
* Hands-on experience in product-focused organizations.
Why Karini AI
* Work on cutting-edge Generative AI technologies and real-world deployments.
* Build AI agents and solutions for global enterprise clients.
* Collaborate with a team of AI experts and engineers solving high-impact problems.
* Accelerate your career in AI with end-to-end solution ownership.
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