LLM Engineer/4-8 Years/ Hyderabad. at InRhythm Solutions · Hyderabad · 4 - 8 years · ₹10L - ₹20L / yr · Profitable · Posted 28 Jul 2025
Key Responsibilities:
- Develop and fine-tune large language models for diverse applications.
- Implement and optimize LLMs to create efficient, scalable solutions.
- Build intelligent agents that utilize LLMs to interact and perform complex analytical tasks.
- Collaborate with cross-functional teams to integrate LLM technology into our products and services.
- Conduct research to stay ahead of the latest trends and advancements in generative AI and machine learning.
- Document and present model development processes and results for stakeholders.
Required Qualifications:
- 4-8 years of experience in machine learning, specifically with generative AI and large language models.
- Strong proficiency in Python and familiarity with AI and ML libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.
- Experience in fine-tuning LLMs and deploying AI models in a production environment.
- Proven ability to design and implement AI agents using LLMs.
- Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
Shubham Vishwakarma
Full Stack Developer - Averlon
About InRhythm Solutions
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Job Description:
We are seeking a highly skilled Machine Learning Engineer to join our team. The ideal candidate will have a strong background in Natural Language Processing (NLP), Large Language Models (LLMs), and Python programming.
You will work closely with data scientists, product managers, and data engineers to design, develop, and deploy high-performance AI/ML models and integrate generative AI solutions into existing workflows.
Your responsibilities will include:
- Collaborating with cross-functional teams to design and deliver high-performance AI models, including NLP, computer vision, semantics engines, linguistic analysis, risk management, and time-series prediction models. Integrating generative AI solutions into existing workflow systems.
- Developing and maintaining the ML Operations CI/CD pipeline for seamless deployment and monitoring. Training, tuning, and optimizing AI models and algorithms for enhanced performance.
- Implementing complex real-time data and AI/ML applications to capture knowledge and automate decision-making processes.
- Creating ML/AI models for business teams and establishing metrics to track their accuracy and performance. Overseeing the full lifecycle of algorithm development, from ideation to deployment and monitoring. Evaluating and ranking ML algorithms based on their potential success in solving specific problems.
- Serving as an internal resource for AI/ML needs, providing guidance and insights to stakeholders during strategic discussions.
Required Experience and Skills:
Machine Learning:
- Proficient in generative AI techniques, prompt engineering, and Retrieval-Augmented Generation (RAG) (3+ years).
- Experience with Large Language Models (LLMs) such as OpenAI, Gemini, LLAMA, and other state-of-the-art models (3+ years).
- Expertise in using ML/AI libraries such as Pandas, NumPy, PyTorch, TensorFlow, Keras, BERT, LayoutLM, and traditional ML algorithms (5+ years).
- Experience with distributed ML/AI training libraries/models: Koalas, Horovod, DDP.
Python Programming and Software Engineering:
- Expertise in Pythonic clean coding practices, including the use of decorators, generators, and descriptors (5+ years).
- Strong understanding of software design principles such as DRY, OAOO, YAGNI, KIS, EAFP/LBYL, and defensive programming (2+ years).
- Proficient in software design concepts focusing on cohesion and coupling (2+ years). Knowledge of SOLID principles (2+ years).
Education and Experience:
- Minimum Bachelor's degree or foreign equivalent in Computer Science, Electrical Engineering, or a closely related field.
- At least 5 years of experience as a software engineer and 5 years of ML-related programming.
Key Responsibilities
• Design, build, and deploy machine learning and AI models that power Transient.AI's core products (research
automation, document intelligence, investor matching, and workflow orchestration).
• Work on applied NLP/LLM systems, including retrieval-augmented generation, structured extraction from
unstructured financial documents, and model evaluation pipelines.
• Partner closely with product and founding engineers to translate capital markets workflows into scalable AI
systems.
• Own model performance, reliability, and cost — from experimentation through production deployment.
• Build and maintain data pipelines, feature stores, and evaluation frameworks to support rapid iteration.
• Ensure systems meet the compliance, auditability, and security standards required in regulated financial
environments.
What We're Looking For
• 5+ years of experience building and deploying machine learning or AI systems in production.• Strong hands-on experience with Python and modern ML/AI frameworks (PyTorch, TensorFlow, Hugging Face,
LangChain, or equivalent).
• Experience with LLMs — fine-tuning, prompt engineering, RAG architectures, or agentic systems — is highly
valued.
• Solid grounding in data structures, distributed systems, and MLOps practices (model serving, monitoring,
versioning).
• Prior experience at a strong product company, high-growth startup, or a top-tier engineering background
• Comfort operating in an early-stage, high-ownership environment with limited process and high ambiguity.
• Exposure to fintech, capital markets, or other regulated industries is a plus, though not mandatory
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
About NonStop io Technologies
NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.
Brief Description:
We're seeking an AI/ML Engineer to join our team. As AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real-world business problems. You will work closely with engineering teams, including software engineers, domain experts, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop io. Your role will involve researching cutting-edge algorithms and data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.
Responsibilities
● Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI
● AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.
● Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data
● Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics
● Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behaviour, and performance metrics
● Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems
● Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes
● Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions
● Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference.
Qualifications & Skills
● Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus
● Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects
● Proficiency in programming languages commonly used for AI/ML. Preferably Python
● Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.
● Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.
● Strong understanding of machine learning algorithms, statistics, and data structures
● Experience with data preprocessing, data wrangling, and feature engineering
● Knowledge of deep learning architectures, neural networks, and transfer learning
● Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment
● Solid understanding of software engineering principles and best practices for writing maintainable and scalable code
● Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions
● Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders
Must of Skills/Experience
• System Design
• Python
• TensorFlow
• Google ADK or Lang Graph
• Lang Chain , Lang Graph
• Spark
• Agentic AI Design
• ML Ops
• MCP (client and server)
• FastAPI
• Doc Factory
• RAG
• Golang
• LLMs – Gemini, Open AI
• NLP
• Dev Assistant - AI based code - generation
(Qwen or Claude or Copilot)
• CI/CD
• Good in oral and written communication,
collaboration and be a team player
Good to have skills
• DevOps with K8
• Scripting
• Java
• REST API
• UV
• ReACT
• DocFactory
• Unix
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Mandatory (Experience 1) - Must have 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, or Generative AI application development.
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Mandatory (Experience 3) - Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, or Scikit-learn.
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Mandatory (Experience 4) - Must have hands-on experience in NLP use cases such as text classification, sentiment analysis, entity recognition (NER), semantic search, embeddings, or document understanding.
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Mandatory (Experience 5) - Must have experience working with Large Language Models (LLMs) such as GPT, LLaMA, Mistral, Phi, Claude, Gemini, or similar models.
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Mandatory (Experience 6) - Must have hands-on experience building or implementing Retrieval Augmented Generation (RAG) solutions, vector search, semantic search, or knowledge-based AI applications.
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Full Stack Developer - Averlon