AI Engineer
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Job Description
- *AI Engineer**
- *E X P E R I E N C E**
- *8\+ years**
- *W O R K M O D E**
- *E N G A G E M E N T T Y P E**
- *Contract**
- *D U R A T I O N**
- *6 Months**
- *S H I F T T I M I N G**
- *US Shift**
R O L E O V E R V I E W
The Forward Deployed AI Engineer will serve as our client's most senior client\-facing technical role, partnering
directly with CTOs, VPs of Engineering and ML, research leaders, and applied AI teams. The engineer will
design and build the data\-generation, labeling, and evaluation pipelines that power next\-generation AI models,
owning solutions from problem discovery through implementation and delivery. The role also involves shaping
our client's approach to AI solution engineering and mentoring Solution Engineers and Technical Consultants.
K E Y R E S P O N S I B I L I T I E S
Act as the primary technical counterpart to CTOs, VPs of Engineering, and research/engineering leadership
Lead executive conversations using a structured, answer\-first (BLUF) approach
Manage escalations and expectations with composure and integrity
Build long\-term trusted relationships by recommending evidence\-based solutions
Ask probing questions to uncover the client's real need, including their model, the metrics they want to
move, and how they intend to train or evaluate it
Apply a solid understanding of how LLMs are trained and fine\-tuned to hold credible conversations with
technical leaders and understand their data strategy
Propose proactively the data that will solve the client's problem, with options and rationale
Design and build data solutions hands\-on, configuring data\-labeling components and quality controls
Develop user interfaces and AI\-driven solutions (e.g. agentic systems, RAG, synthetic data generation)
Integrate solutions into automated, multi\-stage pipelines that produce data for AI training and evaluation
Architect complex, multi\-stage solutions end to end
Run experiments to prove the pipeline delivers data of the required quality and speed
Iterate from MVP toward production
Provide technical leadership across multiple client engagements
Establish reusable engineering standards and best practices
Confidential. Shared with authorised recruitment partners only. Please do not forward this JD or contact the end client directly. Page 1 of 3
GirnarSoft
Forward Deployed AI Engineer · GS/JD/2026/0003
Mentor Solution Engineers and Technical Consultants to raise the overall technical bar of the organization
Own delivery end to end, including timelines, quality, and scalability
Own the commercial outcome, including Gross Margin and Contribution Margin, naming the levers,
trade\-offs, and next checkpoints
Identify and drive expansion opportunities
M A N D A T O R Y S K I L L S
Executive communication with CTOs, VPs, and senior technical stakeholders (clear, concise, structured,
persuasive, calm under pressure)
Professional English (C1\+)
Modern LLM development: training, fine\-tuning, and evaluation (SFT, RLHF/RLAIF, DPO/PPO, reward
modeling, LoRA/PEFT)
Post\-training experience, including SFT (Supervised Fine\-Tuning) and Reinforcement Learning
Translating client goals into effective AI data solutions
Hands\-on solution engineering: complex AI solutions, multi\-stage pipelines, AI\-driven systems (agentic
workflows, RAG, synthetic data generation)
Python (NumPy, Pandas)
API integration
Independent prototyping of LLM\-powered solutions
Software engineering foundations: version control, testing, MVP thinking, iterative development
Discovery and problem framing, working through ambiguity and translating business or research goals into
AI data and evaluation strategies
Delivering complex AI, ML, or data projects end to end (8\+ years)
Influencing technical direction beyond individual projects
Ownership mindset: trade\-offs between time, cost, and quality, owning technical and commercial success
G O O D \- T O \- H A V E S K I L L S
Building production software
Establishing engineering standards, mentoring engineers, or leading cross\-functional technical initiatives
Top\-tier strategy consulting (McKinsey, Bain, BCG) and/or applied ML / LLM engineering
Hands\-on training or fine\-tuning of LLMs and/or building agentic systems
Crowdsourcing and/or data\-centric AI
Fast\-paced, multi\-project delivery for frontier AI clients
Q U A L I F I C A T I O N S \& C E R T I F I C A T I O N S
Advanced degree (MSc/PhD) in AI, CS, or a related field (preferred)
A D D I T I O N A L I N F O R M A T I O N
Engagements vary widely, from evaluation pipelines for frontier foundation models to domain\-specific
reasoning datasets and synthetic data workflows
Confidential. Shared with authorised recruitment partners only. Please do not forward this JD or contact the end client directly. Page 2 of 3
GirnarSoft
Forward Deployed AI Engineer · GS/JD/2026/0003
The engineer helps clients identify the right data strategy rather than training models.
post your cv to this email id
raja.sravani@kasmoprav.com
Pay: ₹130,000\.00 \- ₹140,000\.00 per month
Work Location: Remote
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Job Overview
- Job type
- Full-time
- Work mode
- Remote
- Location
- Anywhere in India
- Posted
- 18h ago
- Source
- Indeed