Posted:2 weeks ago| Platform:
Remote
Full Time
We’re looking for a mid-to-senior AI Engineer with strong backend skills and experience in either LLM-based systems or physiological signal processing to join our team full-time in Dehradun. You’ll help us build production-ready AI solutions that serve both our mobile app and our health monitoring tools. You’ll work alongside a focused and collaborative team to build tools that power AI features for real-time insights, personalized recommendations, and health predictions. This is a research-heavy, hands-on engineering role requiring the ability to read papers, design prototypes, build robust APIs, and ship features into production. What You’ll Work On LLM-Focused Workstreams Build Python-based tools the LLM can call to: - Analyze user health data (metrics, goals, activity) - Recommend content from our health library (videos, articles) - Generate structured meal plans Design APIs and integrate AWS serverless infrastructure for our mobile app Develop RAG pipelines or vector DB-based solutions if applicable Computer Vision & Signal Processing Workstreams Improve and expand our physiological signal extraction models (e.g., rPPG for heart rate) Build ML models to predict health vitals and risk markers from video data Validate models using appropriate metrics (AUC, ROC, sensitivity, etc.) Maintain reproducibility through experiment tracking and rigorous documentation Tech Stack Languages/Tools: Python, Jupyter, GitHub, JSON, REST APIs Frameworks: scikit-learn, NumPy, pandas, OpenCV, (Optional: PyTorch/Keras) Cloud & Infra: AWS Lambda, S3, (Optional: Bedrock, LangChain, Vector DBs) What We Are Looking For: Must-Haves: 3–4+ years of backend or applied ML development using Python Experience with LLMs (e.g., LangChain, Bedrock, OpenAI APIs) or computer vision/signal processing Familiarity with structured data handling (REST, JSON) and serverless architectures (AWS Lambda) Strong grasp of ML model evaluation and ability to translate messy real-world data into clean pipelines Collaborative mindset with strong communication skills Comfortable working night shifts and from our Dehradun office Nice to Have: Experience with physiological signal extraction or biomedical ML Knowledge of RAG pipelines, vector databases Contributions to peer-reviewed research or healthcare AI projects Interest in healthcare, nutrition, or wellness industries We are looking for individuals who are not just technically skilled, but also aligned with our work culture and values: Work from Office: Willing to work full-time from our Dehradun office (No remote option). Night Shift Commitment: Comfortable working 5:00 PM to 2:00 AM IST, Monday to Friday (US Shift). Discipline & Responsibility: Punctuality and personal ownership of deliverables are non-negotiable. Team Collaboration: Must be proactive in communication, open to feedback, and collaborative in approach. Learning Attitude: Open to reading papers, exploring new techniques, and improving continuously. Confidentiality & Integrity: Must handle sensitive healthcare data with the utmost care and confidentiality. Professionalism: Able to work with focus, follow task timelines, and deliver clean, well-documented work. Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,500,000.00 per year Schedule: Monday to Friday Night shift US shift Application Question(s): Do you have experience with LLMs (e.g., LangChain, Bedrock, OpenAI APIs) or computer vision/signal processing? Education: Bachelor's (Required) Experience: Work: 3 years (Required) Language: English (Required) Shift availability: Night Shift (Required)
Applite Solutions
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Bhubaneshwar
Experience: Not specified
10.0 - 22.5 Lacs P.A.
Mumbai
10.0 - 12.2415 Lacs P.A.
Bhubaneswar, Orissa
Experience: Not specified
10.0 - 22.5 Lacs P.A.
Mumbai, Maharashtra
Salary: Not disclosed
Chennai
20.0 - 25.0 Lacs P.A.
Chennai
20.0 - 25.0 Lacs P.A.
Chennai
20.0 - 25.0 Lacs P.A.
Chennai
20.0 - 25.0 Lacs P.A.
Gurugram
7.0 - 11.0 Lacs P.A.
Pune, Chennai
8.0 - 12.0 Lacs P.A.