Studio Graphene
Senior Software Engineer - AI
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Studio Graphene Limited Careers
Senior Software Engineer - AI
Gurgaon, India
Description
Who we are
We're a multidisciplinary team of strategists, designers, engineers, and product managers based in London, Delhi, Geneva, and Lisbon. Our mission is to help create a world where new digital ideas transform lives - so working here means solving meaningful digital challenges, building your portfolio with standout projects and brands, and using some of the most innovative technologies around.
As a certified B Corporation, honesty and trust are key foundations at Studio Graphene. We believe in using technology as a force for good and, through our work, create a positive impact on the world. We are ISO 9001 and 27001 certified, which demonstrates our commitment to delivering services of the highest quality and maintaining the utmost standards of information security for our clients.
Our culture is supportive, open, and collaborative, which has led us to proudly earn a Great Place to Work certification across all our global studios, spanning the UK, Portugal, and India. This certification underscores our commitment to nurturing an exceptional workplace culture. We offer great benefits, competitive pay, and a chance to make a difference in your career.
What You Will Do
We are seeking a highly skilled Machine Learning Engineer to design, develop, and deploy machine learning models and AI-driven solutions. You will work closely with clients, software engineers, and product teams to transform data into actionable insights and intelligent applications.
Responsibilities
- Design and build agentic AI systems - tool use, multi-agent orchestration, ReAct/chain-of-thought pipelines.
- Develop and deploy LLM-powered features: RAG pipelines, autonomous workflow automation.
- Own prompt engineering and context engineering: manage context windows, token budgets, and output structuring.
- Build and maintain backend services using Python and FastAPI; design and manage relational databases with SQLAlchemy and Alembic migrations.
- Host and serve custom models on AWS SageMaker; manage endpoints, scaling, and inference pipelines.
- Work with open-source models via Hugging Face - model selection, inference, and lightweight customization.
- Set up and maintain ML/AI-Ops workflows - CI/CD pipelines for model deployment, automated testing, and continuous delivery of AI features.
- Stay updated with the latest advancements in ML, AI, deep learning, and agentic frameworks.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Must have
- 4+ years of experience in Python (3.10+) — clean, production-grade code with async patterns and FastAPI.
- GenAI fundamentals: solid understanding of tokens, embeddings, prompt engineering, and context engineering.
- Familiarity with Agent-to-Agent (A2A) and Model Context Protocol (MCP).
- Basic ML/NLP knowledge: classification, regression, NLP pipelines, BERT, LIWC, Bag of Words, and embedding-based similarity models.
- Hands-on experience deploying and hosting custom models on AWS SageMaker.
- Familiarity with the Hugging Face ecosystem and open-source model landscape.
- Experience with ML/AIOps - CI/CD pipelines for model lifecycle, model versioning, monitoring, and automated evaluation in production.
- Strong grasp of data structures, algorithms, and software engineering principles.
- Excellent problem-solving skills with the ability to work independently and collaboratively in a fast-paced environment.
- Good written and verbal communication skills.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Nice to have
- Experience fine-tuning foundation models using PEFT/LoRA techniques.
- Knowledge of guardrails, safety evaluation, or responsible AI principles.
- Monitor models in production - track drift, performance degradation, hallucination rates, token usage, and latency.
What We Offer
- The opportunity to have a real impact on the company's growth and evolution.
- Work for a company with global offices and the opportunity to travel and meet your colleagues.
- Work on a wide variety of tasks that are often ground-up builds.
- Dynamic and fun working environment - we run numerous brown bag sessions, bug-finding days, and after-work social events.
- We take care of you and offer multiple perks, including special days off for health & wellness.
- We support you with our sponsored learning & development program.
Studio Graphene is proud to be an equal opportunity workplace. We cultivate a culture of inclusion for all employees, which respects their strengths, views, and experiences. We strongly value diversity within our team, recognizing that it fosters better decision-making, innovation, and ultimately contributes to our business success.
Apply | Apply Later
← Back to Current Openings
Share
LinkedIn | Facebook | Twitter | Email
Similar Jobs
Software Engineer - Cloud
Powered by Jobvite
Search Jobs
Jobs | About | Job Alerts
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location