Forward Deployed Engineer

Job Title: Forward Deployed Engineer

Company:
Karini AI LLP

Location:
Baner, Pune (Onsite)

Employment Type:
Full-time

About Karini AI

At Karini AI, we enable businesses to harness the power of Generative AI effortlessly, freeing them from skill and infrastructure development complexities. Our cutting-edge platform allows you to quickly turn your innovative ideas into reality, efficiently transforming them from initial concepts to full production within minutes. Designed with stringent enterprise-level security and governance, along with robust AI safety measures, Karini AI meets the most demanding compliance standards.

Our platform provides access to the latest in Large Language Models (LLMs) and a versatile experimentation environment, ensuring flexibility and top-tier quality to build user trust. We offer detailed operational dashboards to track Generative AI usage, performance, and trends and manage costs effectively.

Staying at the forefront of scientific advancement and the evolving landscape of models, Karini AI eliminates technical debt. Our no-code approach to Generative AI application deployment ensures you don't compromise on quality or speed in bringing products to market. Karini AI is adaptable and perfect for a range of applications, including virtual assistants, text generation, summarization, Q&A, semantic search, classification, and even image creation.

Role Overview

As a Forward Deployed Engineer, you will design, build, and deploy AI agents and Generative AI solutions directly in customer environments. You'll collaborate with cross-functional teams, prototype solutions, productionize systems, and integrate AI into enterprise workflows. This role blends
strong technical skills
,
customer-facing 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
  , 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 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 in
  building and deploying Generative AI or LLM-based applications
  .

• Expertise in
  RAG architectures
  and concepts(vector stores like Opensearch, Pinecone, Weaviate, hybrid search; metadata filtering).

• Experience with
  prompt engineering
  , evaluation frameworks, and AI safety guardrails.

• Familiarity with
  enterprise security considerations
  (PII handling, access controls, compliance).

• Excellent communication skills and
  customer-facing experience
  .

Nice-to-Have

• Experience with AWS Cloud

• Experience with frameworks like LangChain, LangGraph, DSPy, or LlamaIndex.

• Hands on experience of LLM
  fine-tuning is a big plus

• Experience leading
  PoCs or production deployments
  for enterprise customers.

Preferred Qualifications
:

• Bachelor of Engineering in Computer Science, Artificial Intelligence.

• PhD, M.Tech, M.E. & B.E-Computer Science or AI is preferred.

• Hands-on experience in product-focused organizations.

Why Karini AI

• Work on
  cutting-edge Generative AI
  technologies and real-world deployments.

• Opportunity to 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.