Research Associate at Keywords Studios · Gurugram · 0 - 2 years · ₹2L - ₹3L / yr · Profitable · Posted 5 Apr 2025
We are hiring Research Associates for a AI project for Gurgaon location. The Research Associate role is focused on Prompt Writing, Annotation and Labeling in which you will focus on the improvement of an AI engine.
In addition to an ability to write clearly and concisely, successful Research Associates must be able to tailor their writing style to each assignment’s requirements.
The ideal candidates will have a solid ability to focus on efficiency and problem-solving, and excellent writing and reading comprehension skills – including experience in creating and composing text within a specified amount of time.
Key Responsibilities:
- Work on various client projects to train generative AI models, by creating prompts and responses based on the instructions provided and on using established best practices for quality prompts.
- Given examples, generate similar prompts and responses.
- Use a variety of communication channels such as Slack, Teams, and SharePoint, to learn about new projects, collaborate with your team, and ask questions.
- Learn new software programs on the job.
- Providing supporting documentation when the AI fails.
Requirements
- Experience – 0-2 years
- Excellent Communication skills (Oral and Written)
- Qualification: Bachelor's degree (any stream)
- Preferred: Good understanding of AI.
- Ability to gain new skills and knowledge through hands-on experience
- Keen eye for detail.
- Demonstrated ability to work independently
- Strong time management skills
- Exemplify the quality of doing "get it done attitude," including a high level of accountability, transparency, and teamwork first & foremost
Shubham Vishwakarma
Full Stack Developer - Averlon
About Keywords Studios
About
Keywords Studios is an international technical and creative services provider to the global video games industry. It offers integrated art production, engineering, audio services, testing, localization, and player support services across 50 languages and 14 game platforms to a blue-chip client base in more than 20 countries. Keywords Studios was established in 1998 and has over 50 studios located across Europe, North America, South America, and Asia. It has a strong market position, providing services to 23 of the top 25 most prominent games companies. The company solves the problems of video game developers and publishers by providing them with a range of technical and creative services. Keywords Studios operates in the video games industry, providing services to video game developers and publishers alike. Its brands include Alchemic Dream, Around The Word, Asrec, Babel, Binari Sonori, Blindlight, Cord Worldwide, d3t, Dune Sound, Enzyme, Fire Without Smoke, GameSim, Kite Team, Laced, La Marque Rose, Lakshya, LOLA, Liquid Development, Liquid Violet, Mindwalk, Player Research, Red Hot, Reverb, Sonox, Sperasoft, Spov, Synthesis, VMC, Volta, and XLOC.
Candid answers by the company
art production, engineering, audio services, testing, localization, and player support services across 50 languages and 14 game platforms
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- Engineer advanced prompts for GPT-4o, Claude 3.5, Llama 3
- Build Retrieval-Augmented Generation (RAG) pipelines
- Fine-tune open-source LLMs on domain-specific datasets
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- Python proficiency, basic ML concepts
- Experience with ChatGPT/Claude APIs
- Strong logical reasoning and writing skills
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- Live chatbot deployments in portfolio
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We are seeking an AI Engineer to build and implement AI systems for content production at scale. You'll work at the intersection of engineering and content designing prompt pipelines, integrating generative models, and building the tooling that turns source material into finished creative output. The ideal candidate is technically strong but also has taste: someone who understands story and craft, and can tell the difference between output that's technically correct and output that's actually good.
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- Write evals compare outputs against references, quantify quality, and feed results back into the pipeline
- Work on data pipelines: structured extraction from messy source text, localization, similarity/dedup
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- (1+/3+) years of engineering experience, or a strong portfolio of shipped projects
- Solid Python fundamentals clean, working, readable code
- Hands-on experience with LLM APIs and prompt engineering (personal projects count)
- Comfort with Git, REST APIs, and working in a Linux environment
- A feel for content and narrative you can judge whether generated output is actually good, not just valid
- Curiosity and clear communication you ask good questions and don't stay stuck silently
Preferred
- Exposure to agent/orchestration frameworks (LangGraph, LangChain, CrewAI)
- Familiarity with vector databases, embeddings, or RAG (Qdrant, pgvector)
- Hands-on work with open-source generative media models Flux, LTX, Wan, or similar
- Experience deploying open-source models for inference (vLLM, ComfyUI, Replicate/Cog, Docker + GPU)
- Experience writing evals or LLM-as-judge scoring
- Node.js and Fastapi familiarity, or experience deploying on AWS
About the role
We are seeking an AI Engineer to build and implement AI systems for content production at scale. You'll work at the intersection of engineering and content designing prompt pipelines, integrating generative models, and building the tooling that turns source material into finished creative output. The ideal candidate is technically strong but also has taste: someone who understands story and craft, and can tell the difference between output that's technically correct and output that's actually good.
Responsibilities
- Build and iterate on prompt pipelines and multi-agent workflow components
- Design and integrate agentic workflows orchestrate multi-step, tool-using agents that plan, call models, and hand off between stages in production
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- Hands-on experience with LLM APIs and prompt engineering (personal projects count)
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- A feel for content and narrative you can judge whether generated output is actually good, not just valid
- Curiosity and clear communication you ask good questions and don't stay stuck silently
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- Experience deploying open-source models for inference (vLLM, ComfyUI, Replicate/Cog, Docker + GPU)
- Experience writing evals or LLM-as-judge scoring
- Node.js and Fastapi familiarity, or experience deploying on AWS
PythonAbout the Role
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- Design, test, and optimize prompts and workflows for different use cases.
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- Ability to work independently in a remote environment.
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- Mentorship from AI and software professionals.
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Parsewave builds evaluation and post-training data for frontier AI labs. We work on custom datasets, expert evaluations, reasoning traces, and other data used to train and test advanced AI models.
We are hiring someone to help with client outreach and relations.
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- Help maintain client relationships once conversations begin
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How to stand out
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- Internship Completion Certificate.
- Letter of Recommendation based on performance.
- Opportunity for a Pre-Placement Offer (PPO) for outstanding performers.
- Professional networking and career development opportunities.
Python
JavascriptLocation: Hyderabad, India (home base), deployed at client sites in India. Occasional Middle East exposure possible.
About the Role
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Four behaviors define this role:
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- Show working software early. You build a prototype in days, not a document in weeks.
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- Stay after go-live. You keep running and improving the system after launch.
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This role involves extended onsite deployments at client locations in other cities, sometimes up to six months at a stretch. Please apply only if you are ready for this way of working.
What you'll own
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- The prototype - Build a working prototype fast, using real or sample data, to prove the idea.
- The roadmap - Decide what to build, in what order, and set clear success measures tied to business outcomes.
- The build - Design and ship the production system with the Hyderabad engineering team. This includes data integration, agents, retrieval, and evaluations.
- The client relationship - Be the trusted technical contact for the customer, from engineers to senior leaders.
- Go live and after - Deploy the system, watch how it performs, fix problems, and improve it over time.
- Feedback to the product - Share what you learn in the field so the vendor's product and our internal tools get better.
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- Strong programming skills in Python. Working knowledge of TypeScript or JavaScript.
- A full-stack development experience with strength in backend technologies.
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- Experience building and deploying AI systems.
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- Experience with observability and tracing tools such as LangSmith or Braintrust.
- Experience with data engineering and pipelines.
- A history of side projects, open source contributions, or products you shipped end-to-end.
- Experience in embedded or forward-deployed roles before.
- Experience working at a consulting or professional services firm in a client-facing delivery role.
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- Models: Claude and other frontier or open-source models, chosen to fit the customer.
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- Vector and retrieval: vector databases and retrieval pipelines.
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Python
Programming[Please refrain from applying if you have over 10 years of experience. This is a hands-on role that requires building from the ground up.]
Location: Bengaluru (In-Office)
Employment Type: Full-Time
About Logikality
Logikality is building an AI-native mortgage intelligence platform for the U.S. mortgage industry. We are reimagining how mortgage operations are executed by combining AI, workflow automation, and domain expertise to solve one of the most document-intensive and decision-heavy industries in the world.
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- Rapidly prototype, experiment, and iterate on new AI techniques, evaluating state-of-the-art research for production adoption.
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What We're Looking For
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline; or an engineering degree in Computer Science or related disciplines from a premier engineering institution (e.g., IITs, IISc, NITs, BITS Pilani, or top-tier global universities).
- 3–8 years of professional experience in Applied AI, Machine Learning, or AI Research, with experience building production-grade AI systems
- Strong expertise in modern AI, including Large Language Models, transformers, agentic AI, reasoning systems, retrieval, multimodal learning, or adjacent areas.
- Strong software engineering skills with Python and modern machine learning frameworks.
- Experience designing and implementing production-grade AI systems that solve complex real-world problems.
- Strong understanding of model evaluation, benchmarking, experimentation, and AI system reliability.
- Experience balancing research innovation with engineering pragmatism and product delivery.
- Excellent problem-solving and communication skills with the ability to collaborate across engineering, product, and business teams.
Why Join Logikality?
At Logikality, you'll work on problems that require genuine reasoning, not just text generation. You'll help build AI systems that understand complex documents, synthesise information across workflows, explain decisions, identify exceptions, and improve through continuous learning and expert feedback.
This is an opportunity to work at the intersection of cutting-edge AI research and real-world impact, where your ideas won't remain as papers or prototypes; they'll power intelligent systems used every day by mortgage professionals. We are looking for someone who can connect AI, platform engineering, product thinking and customer outcomes.
For the right person, this could develop into a CTO and co-founder track over the next 6–9 months, based on contribution, technical leadership and mutual fit.
Interested candidates are requested to apply via the Google Form given: https://forms.gle/jFqKzfLhNCcCFU5t9
This will be a full-time in-office role based in Bangalore. Immediate joiners are preferred.
Data SciencePythonSupport with design and build to prove out agentic AI solution flow by working with other data
scientists and engineers to build, train Large Language Model (LLM) architectures, RAG
systems, and autonomous agentic workflows
Key qualifications:
>> AI solution design & Development: Design Agentic AI solutions using RAG (Retrieval-
Augmented Generation) and orchestration frameworks like LangGraph or LangChain.
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specific tasks
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agent behavior, guard against model drift, and ensure compliance
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon