Software Engineer 2 , Machine Learning
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Before you apply
LocationIndia
Work moderemote
Typefull-time
SeniorityMid
DepartmentEngineering
Company size3+ people
PostedSep 23, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
AI-first approach for solving problems
Hands-on experience building statistical and machine learning models, with proven expertise across traditional methods (regression, classification, clustering, tree-based models) and deep learning techniques (neural networks, CNNs, RNNs)
Solid prompt engineering skills
Hands-on experience building and deploying AI Agents using LangChain, LangGraph, OpenAI API, Gemini API, Anthropic API
Hands-on experience with multi-step agent workflows, orchestration, and evaluating agent reliability
Hands-on experience with vector databases (Pinecone, Weaviate) and semantic search
Hands-on experience fine-tuning open-weight language models and successfully deploying and maintaining them in scalable production environments on cloud platforms (e.g., AWS, Azure, GCP)
Good debugging and online searching skills
Good communication skills
Good problem-solving skills (ability to solve hard-level data structures and algorithms problems)
Skills
LangChain
LangGraph
OpenAI API
Gemini API
Anthropic API
Pinecone
Weaviate
AWS
Azure
GCP
Python
Benefits
Remote work
Unlimited PTO
What will excite us?
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MIMP: An AI-first approach for solving problems.
•
Hands-on experience building statistical and machine learning models, with proven expertise across traditional methods (regression, classification, clustering, tree-based models) and deep learning techniques (neural networks, CNNs, RNNs).
•
Solid prompt engineering skills.
•
Hands-on experience building and deploying AI Agents using LangChain, LangGraph, OpenAI API, Gemini API, Anthropic API, etc.
•
Hands-on experience with multi-step agent workflows, orchestration, and evaluating agent reliability.
•
Hands-on experience with vector databases (Pinecone, Weaviate) and semantic search.
•
Hands-on experience fine-tuning open-weight language models and successfully deploying and maintaining them in scalable production environments on cloud platforms (e.g., AWS, Azure, GCP).
•
Good debugging and online searching skills.
•
Good communication skills.
•
Good problem-solving skills (ability to solve hard-level data structures and algorithms problems).
What will you be doing?
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Collaborate closely with product managers and business stakeholders to gain a deep understanding of business challenges, translating them into well-defined machine learning problems and actionable project requirements that drive business growth and enhance learner experiences.
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Leverage your expertise in statistical modeling, machine learning, and generative AI/LLMs to research and design optimal solutions for the identified machine learning problems.
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Collaborate closely with machine learning engineers to develop and refine optimal solutions for the identified machine learning problems.
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Closely work with Applied AI/ML engineers building LLM-powered agentic systems for real product use cases.
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Design, develop, and optimize agent pipelines/APIs, build tests for agent behaviors, and contribute to evaluation frameworks.
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Take ownership of deploying the developed machine learning solutions into scalable production environments (on cloud platforms like AWS, Azure, GCP) and ensure these deployed solutions are effective.
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Staying informed about recent developments in AI/ML, including key publications, best practices, evaluation methodologies, technology stacks, and relevant tools.
Why Will You Enjoy Working with Us?
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Permanent remote / work-from-home culture
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Opportunity to work on a cutting-edge AI technology stack
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An AI-first approach to solving real-world problems
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Complete ownership and trust from leadership
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Your ideas and concerns are actively heard by the leadership team
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Freedom to experiment, fail, and learn
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Rapid career progression for high performers
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Work with a high-caliber team of engineers and industry experts
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Learn how a fast-growing startup builds and scales